About Me

Hi! I am a french computer science student, I gratuated from Ecole Centrale Paris, France, and Georgia Institute of Technology, USA.

I am currently doing a Pre-Phd program at the MLIA team, at the LIP6 lab, in Sorbone Université, Paris. I am mainly working on visual reasoning tasks, such as Visual Question Answering.

I was previously intern at the Cognitive Machine Learning team at Ecole Normale Supérieure, in Paris, as a machine learning research intern.

I’m very interested in machine learning and deep learning, more specifically for robotics, computer vision, and speech processing, and its application for AI research.


Master Student, Georgia Institute of Technology, USA I’m enrolled in a Computer Science master at Georgia Tech, with specialization in machine learning and interactive intelligence.

Engineering student, Ecole Centrale Paris, France I studied Engineering and Computer Science at Ecole Centrale Paris.

Internships and projects

Research Internship, CoML, Spring 2018
I interned for 6 months at the CoML team, a research lab in École Normale Supérieure in Paris. I worked on unsupervised machine learning for words and phoneme discovery in speech data.

I contributed to the package ABNet3, a siamese neural network for speech embedding. The package is available on github: https://github.com/bootphon/abnet3

Study of the Variational Auto Encoder for speech subword modeling
For a class project, at Georgia Tech, I studied a variational Auto Encoder architecture for the Zerospeech Challenge, Track 1: unsupervised subword modeling. You can find my work here: https://cdancette.fr/zerospeech-vae/

Deep learning for optical flow estimation, Fall 2017
As a graduate student at Georgia Tech, I worked on a project to estimate optical flows in a natural environment dataset. I used the FlowNet2 architecture. You can find my code on github

Software engineering internship, Datadog, Fall 2016
I worked in the data engineering team, managing data pipelines with Spark and Hadoop.


RUBi: Reducing Unimodal Biases for Visual Question Answering. Remi Cadene, Corentin Dancette, Hedi Ben-younes, Matthieu Cord, Devi Parikh. In NeurIPS 2019

Sampling strategies in siamese networks for unsupervised speech representation learning. Rachid Riad, Corentin Dancette, Julien Karadayi, Neil Zeghidour, Thomas Schatz, and Emmanuel Dupoux. At Nineteenth Annual Conference of the International Speech Communication Association, Hyderabad, India, September 2018 (Interspeech 2018).

A K-Nearest Neighbors Approach To Unsupervised Spoken Term Discovery. Alexis Thual, Corentin Dancette, Julien Karadayi, Juan Benjumea, Emmanuel Dupoux. To appear in 2018 IEEE Spoken Language Technology Workshop (SLT 2018).